Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Paperback)

1. Introduction 2. Wind Energy Fundamentals 3. Paradigms inWind Forecasting 4. SupervisedMachine LearningModels based on Support Vector Regression 5. Decision tree ensemble based Regression Models 6. Hybrid Machine IntelligentWind Speed Forecasting Models 7. Ramp Prediction inWind Farms 8. Supervised Learning for Forecasting in presence ofWindWakes Epilogue A. Introduction to R for Machine Learning Regression A.1 Data handling in R A.2 Linear Regression Analysis in R A.3 Support vector regression in R A.4 Random Forest Regression in R A.5 Gradient boosted machines in R